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To Create an Artificial Intelligence-enabled Device for Airway Assessment (AINFAS) to Identify Patients With Difficult Airway Pre-operatively.

NCT07411495 · Status: ACTIVE_NOT_RECRUITING · Type: OBSERVATIONAL · Enrollment: 1000

Last updated 2026-02-13

No results posted yet for this study

Summary

We're developing a new AI, which uses advanced computer technology to help doctors identify patients who might have a difficult airway before surgery or emergency procedures. Sometimes, when a person needs help breathing, doctors have to insert a tube into their airway. This can be challenging for some people due to the shape of their mouth, throat, or neck. We hope that AI will look at a patient's facial features to predict if there might be any difficulties.

Conditions

  • Anaesthesia

Interventions

OTHER

AI-Assisted Preoperative Airway Risk Assessment

participants having their photograph taken using a tablet device following a standardized protocol to capture relevant facial and neck features. These photographs will then be analyzed using software, which assesses the images for potential indicators of a difficult airway.

Sponsors & Collaborators

Principal Investigators

  • Will Ne-Hooi Loh · National University Hospital, Singapore

Eligibility

Min Age
21 Years
Max Age
100 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2022-05-17
Primary Completion
2025-01-24
Completion
2026-12-31

Countries

  • Singapore

Study Locations

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Entities

Companies

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07411495 on ClinicalTrials.gov